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Repeatable adaptive keypoint detection via self-supervised learning
Keypoint-based matching is a fundamental technology for different computer vision tasks, in which keypoint detection is a crucial step and directly...
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Descriptive Attributes for Language-Based Object Keypoint Detection
Multimodal vision and language (VL) models have recently shown strong performance in phrase grounding and object detection for both zero-shot and... -
A Novel Steganography Scheme Using Logistic Map, BRISK Descriptor, and K-Means Clustering
This paper introduces a novel steganography method for embedding and extracting a secret message from an image file using three stages. In the first... -
Features as Keypoints and How Fuzzy Transforms Retrieve Them
We are focused on a new fast and robust algorithm of image/signal feature extraction in the form of representative keypoints. We analyze various... -
FD-TR: feature detector based on scale invariant feature transform and bidirectional feature regionalization for digital image watermarking
In this paper we propose the FD-TR: Feature Detector Based on Scale Invariant Feature Transform and Bidirectional Feature Regionalization for digital...
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Keypoint-based contextual representations for hand pose estimation
Most current methods for the hand pose estimation ignore the pixel-level relationship of hand keypoints, e.g. four specific keypoints in the same...
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Detecting and tracking using 2D laser range finders and deep learning
Detecting and tracking people using 2D laser rangefinders (LRFs) is challenging due to the features of the human leg motion, high levels of...
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Unmanned aerial vehicle (UAV) object detection algorithm based on keypoints representation and rotated distance-IoU loss
Recently, significant progress has been made in the research field of unmanned aerial vehicle (UAV) object detection through deep learning. The...
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Matching-to-Detecting: Establishing Dense and Reliable Correspondences Between Images
We present a novel view for local image feature matching, which is inspired by the difference between existing methods. Detector-based methods detect... -
Student behavior recognition based on multitask learning
The assessment of students’ classroom behavior is an important part of classroom teaching evaluation. However, teachers cannot timely, objectively...
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OKGR: Occluded Keypoint Generation and Refinement for 3D Object Detection
Lidar-based 3D object detectors utilize point clouds to detect objects in autonomous driving. However, the point clouds are sparse and incomplete,... -
Lightweight head pose estimation without keypoints based on multi-scale lightweight neural network
Head pose estimation methods without facial key points have emerged as a promising research field. However, there remain several unsolved challenges....
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Arbitrary-shaped scene text detection with keypoint-based shape representation
Recently scene text detection has become a hot research topic. Arbitrary-shaped text detection is more challenging due to the irregular geometry of...
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Self-supervised Siamese keypoint inference network for human pose estimation and tracking
Human pose estimation and tracking are important tasks to help understand human behavior. Currently, human pose estimation and tracking face the...
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UP-Net: unique keyPoint description and detection net
Many computer vision tasks, such as simultaneous localization and map**, visual localization, image retrieval, pose estimation,...
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ASpanFormer: Detector-Free Image Matching with Adaptive Span Transformer
Generating robust and reliable correspondences across images is a fundamental task for a diversity of applications. To capture context at both global... -
FASENet: A Two-Stream Fall Detection and Activity Monitoring Model Using Pose Keypoints and Squeeze-and-Excitation Networks
Numerous frameworks have already been proposed for vision-based fall detection and activity monitoring. These works have leveraged state-of-the-art... -
FE-CSP: a fast and efficient pedestrian detector with center and scale prediction
There are still many pressing problems in pedestrian detection, such as difficulty in detection due to severe pedestrian occlusion, difficulty in...
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LEDet: localization estimation detector with data augmentation for ship detection based on unmanned surface vehicle
Ship detection is significant for monitoring ports, especially contributing to the safe driving of Unmanned Surface Vehicle (USV). However, recent...
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68 landmarks are efficient for 3D face alignment: what about more?
This paper proposes a 3D face alignment of 2D face images in the wild with noisy landmarks. The objective is to recognize individuals from their...